The normal probability plot is a graphical technique for normality testing: assessing whether or not a data set is approximately normally distributed.
The data are plotted against a theoretical normal distribution in such a way that the points should form an approximate straight line. Departures from this straight line indicate departures from normality.
The normal probability plot is a special case of the Q–Q probability plot, for the case of a normal distribution.
Read more about Normal Probability Plot: Definition, Other Distributions, Examples
Famous quotes containing the words normal, probability and/or plot:
“Love brings to light the lofty and hidden characteristics of the lover—what is rare and exceptional in him: to that extent it can easily be deceptive with respect to what is normal in him.”
—Friedrich Nietzsche (1844–1900)
“The probability of learning something unusual from a newspaper is far greater than that of experiencing it; in other words, it is in the realm of the abstract that the more important things happen in these times, and it is the unimportant that happens in real life.”
—Robert Musil (1880–1942)
“We have defined a story as a narrative of events arranged in their time-sequence. A plot is also a narrative of events, the emphasis falling on causality. “The king died and then the queen died” is a story. “The king died, and then the queen died of grief” is a plot. The time sequence is preserved, but the sense of causality overshadows it.”
—E.M. (Edward Morgan)